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HiPub: translating PubMed and PMC texts to networks for knowledge discovery.


ABSTRACT:

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We introduce HiPub, a seamless Chrome browser plug-in that automatically recognizes, annotates and translates biomedical entities from texts into networks for knowledge discovery. Using a combination of two different named-entity recognition resources, HiPub can recognize genes, proteins, diseases, drugs, mutations and cell lines in texts, and achieve high precision and recall. HiPub extracts biomedical entity-relationships from texts to construct context-specific networks, and integrates existing network data from external databases for knowledge discovery. It allows users to add additional entities from related articles, as well as user-defined entities for discovering new and unexpected entity-relationships. HiPub provides functional enrichment analysis on the biomedical entity network, and link-outs to external resources to assist users in learning new entities and relations.

Availability and implementation

HiPub and detailed user guide are available at http://hipub.korea.ac.kr

Contact

kangj@korea.ac.kr, aikchoon.tan@ucdenver.edu

Supplementary information

Supplementary data are available at Bioinformatics online.

SUBMITTER: Lee K 

PROVIDER: S-EPMC5018380 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

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Publications

HiPub: translating PubMed and PMC texts to networks for knowledge discovery.

Lee Kyubum K   Shin Wonho W   Kim Byounggun B   Lee Sunwon S   Choi Yonghwa Y   Kim Sunkyu S   Jeon Minji M   Tan Aik Choon AC   Kang Jaewoo J  

Bioinformatics (Oxford, England) 20160802 18


<h4>Unlabelled</h4>We introduce HiPub, a seamless Chrome browser plug-in that automatically recognizes, annotates and translates biomedical entities from texts into networks for knowledge discovery. Using a combination of two different named-entity recognition resources, HiPub can recognize genes, proteins, diseases, drugs, mutations and cell lines in texts, and achieve high precision and recall. HiPub extracts biomedical entity-relationships from texts to construct context-specific networks, an  ...[more]

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